A Bayesian optimized variational mode decomposition-based denoising method for measurement while drilling signal of down-the-hole drilling

W Ding, S Hou, S Tian, S Liang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Measurement while drilling (MWD) emerges as a reliable technique for assessing rock mass
properties. However, the measured MWD signals are often contaminated with noise, leading …

Coordinated route planning of multiple fuel-constrained unmanned aerial systems with recharging on an unmanned ground vehicle for mission coverage

S Ramasamy, JPF Reddinger, JM Dotterweich… - Journal of Intelligent & …, 2022 - Springer
Abstract Small Unmanned Aerial Systems (sUAS) such as quadcopters are ideal for aerial
surveillance because of their runway independence, terrain-agnostic maneuverability, low …

A Bayesian Optimization Approach for Tuning a Grouping Genetic Algorithm for Solving Practically Oriented Pickup and Delivery Problems

C Rüther, J Rieck - Logistics, 2024 - mdpi.com
Background: The Multi Depot Pickup and Delivery Problem with Time Windows and
Heterogeneous Vehicle Fleets (MDPDPTWHV) is a strongly practically oriented routing …

Iterative Planning for Multi-Agent Systems: An Application in Energy-Aware UAV-UGV Cooperative Task Site Assignments

N Thelasingha, AA Julius, J Humann… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
This paper presents an iterative planning framework for multi-agent systems with hybrid
state spaces. The framework uses transition systems to mathematically represent planning …

Solving Vehicle Routing Problem for Unmanned Heterogeneous Vehicle Systems using Asynchronous Multi-Agent Architecture (A-teams)

S Ramasamy, MS Mondal… - 2023 International …, 2023 - ieeexplore.ieee.org
Fast moving but power hungry unmanned aerial vehicles (UAVs) can recharge on slow-
moving unmanned ground vehicles (UGVs) to cooperatively perform tasks over wide areas …

The heterogeneous vehicle routing problem with multiple time windows for the e-waste collection problem

A Gunawan, MPK Nguyen, FY Vincent… - 2023 IEEE 19th …, 2023 - ieeexplore.ieee.org
Waste from electrical and electronic equipment (WEEE) or e-waste describes end-of-life
electronic products that are discarded. Due to their toxic and negative impacts to humans' …

Geometric zoning and selective routing for surveillance and coverage operations

M El Yafrani, DK Kılıç, F Miehe… - Engineering …, 2024 - Taylor & Francis
Taking fast action, and effectively utilizing the available resources, are important when
conducting time-critical surveillance missions. In addition, the potential complexity of the …

OptiRoute: A Heuristic-assisted Deep Reinforcement Learning Framework for UAV-UGV Collaborative Route Planning

MS Mondal, S Ramasamy, P Bhounsule - arXiv preprint arXiv:2309.09942, 2023 - arxiv.org
Unmanned aerial vehicles (UAVs) are capable of surveying expansive areas, but their
operational range is constrained by limited battery capacity. The deployment of mobile …

A Robust UAV-UGV Collaborative Framework for Persistent Surveillance in Disaster Management Applications

MS Mondal, S Ramasamy, JD Humann… - 2024 International …, 2024 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) are fast, agile, and capable of covering large areas
quickly but are constrained by their limited fuel capacities. In contrast, Unmanned Ground …

Optimizing Routes of Heterogenous Unmanned Systems using Supervised Learning in a Multi-Agent Framework: A computational study

S Ramasamy, MS Mondal, JD Humann… - 2024 International …, 2024 - ieeexplore.ieee.org
Fast-paced but power-hungry Unmanned Aerial Vehicles (UAV) may collaborate with slow-
paced Unmanned Ground Vehicles (UGV) acting as mobile recharging depots to perform …